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Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We are seeking an experienced Applied Scientist to join the Motion Planning and Control team in Vulcan Stow. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments-all of which have high-value impact for our current and future fulfillment networks. Key job responsibilities * Research, design, implement and evaluate complex motion planning, controls, and decision making algorithms integrating across multiple disciplines. * Create experiments and prototype implementations of control algorithms, planners, and optimization techniques. * Work closely with software engineering team members to drive scalable, real-time implementations. * Collaborate with machine learning, perception and software experts to implement and deploy algorithms, such as motion planning and controls algorithms. * Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. * Represent Amazon in academia community through publications and scientific presentations. * Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA - 3+ years of building machine learning models for business application experience - PhD, or Master\'s degree and 6+ years of applied research experience - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience programming in Java, C++, Python or related language - * 2+ years of relevant industry or academic experience developing algorithms for robotic motion planning, perception, control, and decision-making. - - Expertise building and testing real-time systems. - - Strong algorithm development experience. - - Experience with interdisciplinary developments that involve hardware, software, and algorithm co-design. - - Experience in one or more relevant technical areas: robotics, computer vision, machine learning, sensors, real-time systems, embedded systems, distributed systems, simulation, high-performance scientific computing, or building infrastructure for engineering/science users. - - Expertise building and testing real-time systems. - - Experience supporting large-scale infrastructure and tool development for scientific/engineering users. - - Demonstrated experience incubating and productionizing new technology from idea generation through implementation. - - Publications at top-tier peer-reviewed conferences or journals. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from \$136,000/year in our lowest geographic market up to \$260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensatio